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Rex Aurelius C. Robielos and Chiuhsiang Joe Lin
The current study examined 73 existing traffic signs in Metro Manila for their matching accuracy, matching time, and cognitive design features. A total of 60 Filipinos (30 drivers and 30 nondrivers) were voluntarily recruited to perform a matching-based ...
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Lin Qu, Yue Zhou, Jiangxin Li, Qiong Yu and Xinguo Jiang
Map matching of trajectory data has wide applications in path planning, traffic flow analysis, and intelligent driving. The process of map matching involves matching GPS trajectory points to roads in a roadway network, thereby converting a trajectory seq...
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Jingxue Wang, Ning Zhang, Xiangqian Wu and Weixi Wang
Reliable image matching is the basis of image-based three-dimensional (3D) reconstruction. This study presents a quasi-dense matching method based on triangulation constraint and propagation as applied to different types of close-range image matching, su...
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Daoye Zhu, Chengqi Cheng, Weixin Zhai, Yihang Li, Shizhong Li and Bo Chen
Spatial object matching is one of the fundamental technologies used for updating and merging spatial data. This study focused mainly on the matching optimization of multiscale spatial polygonal objects. We proposed a granularity factor evaluation index t...
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Yi Zhang, Hengchao Zhao, Zheng Zhang and Hongbo Wang
Addressing the automatic berthing task for vessels, this study introduces the Flow Matching Double Section Bezier Berth Method (FM-DSB) for handling downstream and upstream berthing instructions. By considering the orientation relationship between the di...
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Pengyun Chen, Zhiru Li, Guangqing Liu, Ziyi Wang, Jiayu Chen, Shangyao Shi, Jian Shen and Lizhou Li
The positioning results of terrain matching in flat terrain areas will significantly deteriorate due to the influence of terrain nonlinearity and multibeam measurement noise. To tackle this problem, this study presents the Pulse-Coupled Neural Network (P...
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Adedamola Adesokan, Rowan Kinney and Eirini Eleni Tsiropoulou
This paper tackles the challenges inherent in crowdsourcing dynamics by introducing the CROWDMATCH mechanism. Aimed at enabling crowdworkers to strategically select suitable crowdsourcers while contributing information to crowdsourcing tasks, CROWDMATCH ...
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Manuel Antonio Ureña-Cámara and Antonio Tomás Mozas-Calvache
This study describes a new algorithm developed to detect local cells of minimum or maximum heights in grid Digital Elevation Models (DEMs). DEMs have a low variance in digital levels due to the spatial continuity of the data. Traditional algorithms, such...
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Mohammed Suleiman Mohammed Rudwan and Jean Vincent Fonou-Dombeu
Ontology alignment has become an important process for identifying similarities and differences between ontologies, to facilitate their integration and reuse. To this end, fuzzy string-matching algorithms have been developed for strings similarity detect...
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Zilu Zhao, Hui Long and Hongjian You
Satellite remote sensing has entered the era of big data due to the increase in the number of remote sensing satellites and imaging modes. This presents significant challenges for the processing of remote sensing systems and will result in extremely high...
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Hye-Jin Lee, Yongjin Kwon and Sun-Young Ihm
In this paper, we propose the duality-based image sequence matching method, which is called Dual-ISM, a subsequence matching method for searching for similar images. We first extract feature points from the given image data and configure the feature vect...
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Rodrigo Smarzaro, Clodoveu A. Davis, Jr. and José Alberto Quintanilha
One of the most significant challenges in cities concerns urban mobility. Urban mobility involves the use of different modes of transport, which can be individual or collective, and different organizations can produce their respective datasets that, usua...
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Syed Nasir Danial, Doug Smith and Brian Veitch
Traditional techniques for accident investigation have hindsight biases. Specifically, they isolate the process of the accident event and trace backward from the event to determine the factors leading to the accident. Nonetheless, the importance of the c...
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Chengming Li, Li Liu, Zhaoxin Dai and Xiaoli Liu
Point of interest (POI) matching is critical but is the most technically difficult part of multi-source POI fusion. The accurate matching of POIs from different sources is important for the effective reuse of POI data. However, the existing research on P...
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Shuai Wang, Qingsheng Guo, Xinglin Xu and Yuwu Xie
Urban underground pipelines are known as ?urban blood vessels?. To detect changes in integrated pipelines and professional pipelines, the matching of same-name spatial objects is critical. Existing algorithms used for vector network matching were analyze...
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Andrii Morozov,Tamara Loktikova,Iurii Iefremov,Anatolii Dykyi,Pavlo Zabrodskyy
Pág. 21 - 28
By advancing the idea of finding width in bipartite graphs and basic definitions in matching theory, this paper shows that the task on establishing a maximal matching in an arbitrary graph can be reduced to its bipartite case. It has been proven that eac...
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Riccardo D?Alberto, Matteo Zavalloni, Meri Raggi and Davide Viaggi
A large share of the Common Agricultural Policy (CAP) is allocated to agri-environmental schemes (AESs), whose goal is to foster the provision of a wide range of environmental public goods. Despite this effort, little is known on the actual environmental...
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A large share of the Common Agricultural Policy (CAP) is allocated to agri-environmental schemes (AESs), whose goal is to foster the provision of a wide range of environmental public goods. Despite this effort, little is known on the actual environmental...
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Jingzhen Ma, Qun Sun, Zhao Zhou, Bowei Wen and Shaomei Li
Residential areas is one of the basic geographical elements on the map and an important content of the map representation. Multi-scale residential areas matching refers to the process of identifying and associating entities with the same name in differen...
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Mateusz Piech, Aleksander Smywinski-Pohl, Robert Marcjan and Leszek Siwik
Complementing information about particular points, places, or institutions, i.e., so-called Points of Interest (POIs) can be achieved by matching data from the growing number of geospatial databases; these include Foursquare, OpenStreetMap, Yelp, and Fac...
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